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mAP val values are for single-model single-scale on COCO val2017 dataset.Nano and Small models use hyps, all others use.

All checkpoints are trained to 300 epochs with default settings.

Reproduce by python val.py -task study -data coco.yaml -iou 0.7 -weights yolov5n6.pt yolov5s6.pt yolov5m6.pt yolov5l6.pt yolov5圆.pt.

EfficientDet data from google/automl at batch size 8.

GPU Speed measures average inference time per image on COCO val2017 dataset using a AWS p3.2xlarge V100 instance at batch-size 32.

COCO AP val denotes metric measured on the 5000-image COCO val2017 dataset over various inference sizes from 256 to 1536.

YOLOv5 has been designed to be super easy to get started and simple to learn.